Comparative accuracy of biomarkers for the prediction of hospital-acquired acute kidney injury: a systematic review and meta-analysis
Journal
Critical care (London, England)
Journal Volume
26
Journal Issue
1
Date Issued
2022-11-12
Author(s)
Pan, Heng-Chih
Chiou, Terry Ting-Yu
Shiao, Chih-Chung
Wu, Che-Hsiung
Huang, Chun-Te
Wang, Tsai-Jung
Chen, Jui-Yi
Liao, Hung-Wei
Chen, Sheng-Yin
Yang, Ya-Fei
Lin, Hugo You-Hsien
Chan, Ming-Jen
Sun, Chiao-Yin
Chen, Yih-Ting
Chen, Yung-Chang
Abstract
Several biomarkers have been proposed to predict the occurrence of acute kidney injury (AKI); however, their efficacy varies between different trials. The aim of this study was to compare the predictive performance of different candidate biomarkers for AKI.
Subjects
Acute kidney injury; Biomarker; Critically ill patient; Neutrophil gelatinase-associated lipocalin
SDGs
Publisher
BMC
Type
journal article